Data Acquisition and Analysis, 6 credits

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Start of studies

Spring semester 2030

Form of education

Campus, Day-time, 2/5

Language

Period

2030 week 4 until 2030 week 13

Admission requirements

Admission to the course requires taken course in Computational Engineering, 6 credits. English 6.

The course provides an introduction to experimental testing, data collection, signal analysis, and using different types of sensors. The course aims for the student to learn to make measurements for, e.g., model updating and use sensors for process monitoring, prediction, and machine learning applications.

Admission requirements

Admission to the course requires taken course in Computational Engineering, 6 credits. English 6.

Level

A1F

Course code

MT2582

Course director
Martin Magnevall
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